mahbubnoor

2017_11_09_NCCU_DM

2017_DataSciencePractice

a class assignment record

AS-DM-project

[Python] [student project] [maintained]

PCA-TSNE-on-MNIST-dataset

# MNIST dataset downloaded from Kaggle : #https://www.kaggle.com/c/digit-recognizer/data

youtube-8m

Starter code for working with the YouTube-8M dataset.

mahbubnoor/A-Convolutional-Recurrent-Neural-Network-for-Real-Time-Speech-Enhancement

Implement A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement by PyTorch.

mahbubnoor/asteroid

The PyTorch-based audio source separation toolkit for researchers

mahbubnoor/awesome-competitive-programming

:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

mahbubnoor/Awesome-Speech-Enhancement

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

mahbubnoor/awesome-speech-enhancement-1

speech enhancement\speech seperation\sound source localization

mahbubnoor/coding-interview-university

A complete computer science study plan to become a software engineer.

mahbubnoor/COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

mahbubnoor/deepspeech.pytorch

Speech Recognition using DeepSpeech2.

mahbubnoor/denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

mahbubnoor/docs

TensorFlow documentation

mahbubnoor/E2E

mahbubnoor/epitran

A tool for transcribing orthographic text as IPA (International Phonetic Alphabet)

mahbubnoor/ESC-50

ESC-50: Dataset for Environmental Sound Classification

mahbubnoor/fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

mahbubnoor/kenlm

KenLM: Faster and Smaller Language Model Queries

mahbubnoor/Listening-to-Sound-of-Silence-for-Speech-Denoising

[NeurIPS 2020] Official repository for the project "Listening to Sound of Silence for Speech Denoising"

mahbubnoor/MetricGAN

MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement (ICML 2019, with Travel awards)

mahbubnoor/models

Models and examples built with TensorFlow

mahbubnoor/Noise2Noise-audio_denoising_without_clean_training_data

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.

mahbubnoor/notebook

mahbubnoor/practicing

mahbubnoor/pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

mahbubnoor/pytube

A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.

mahbubnoor/segan

Speech Enhancement Generative Adversarial Network in TensorFlow

mahbubnoor/Segmentation-VGG19

📜 A Novel Facial Emotion Recognition Model Using Segmentation VGG-19 Architecture

mahbubnoor/speechbrain

A PyTorch-based Speech Toolkit

mahbubnoor/speechdenoising

This repo has a Tensorflow implementation of speech denoising with an API service as well.

mahbubnoor/Tamim-Shahriar-Subeen-Python-Book-Code

Tamim-Shahriar-Subeen-Python-Book-Code

mahbubnoor/Wave-U-Net-For-Speech-Enhancement-1

Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemented for the task of speech enhancement in the time-domain.

mahbubnoor/wer_are_we

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.